Agentic ai

What OpenAI & Google engineers learned deploying 50+ AI products in production

What OpenAI & Google engineers learned deploying 50+ AI products in production

Aishwarya Naresh Reganti and Kiriti Badam, with experience from OpenAI, Google, and Amazon, share a framework for building successful enterprise AI products. They detail why AI development differs from traditional software, emphasizing the challenges of non-determinism and the agency-control trade-off, and introduce their 'Continuous Calibration, Continuous Development' (CC/CD) lifecycle to build reliable, value-driven AI systems.

953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI— with Dell’s Global CTO John Roese

953: Beyond “Agent Washing”: AI Systems That Actually Deliver ROI— with Dell’s Global CTO John Roese

John Roese, Dell's Global CTO, discusses the "agent-washing" phenomenon and how Dell achieved a $10 billion revenue boost while cutting costs through disciplined AI adoption. He introduces the concept of the "knowledge layer" as a crucial new component in AI architecture and details his 2026 predictions. These include a focus on governance, a four-part technical definition for agentic AI systems, the need for modern resiliency in AI factories, and the maturation of sovereign AI strategies.

Agentic Al in SW Development: Evolving Patterns & Protocols • Bhuvaneswari  Subramani • GOTO 2025

Agentic Al in SW Development: Evolving Patterns & Protocols • Bhuvaneswari Subramani • GOTO 2025

Bhuvaneswari Subramani details the "Agentic Shift" in AI by presenting an evolutionary journey through seven foundational system design patterns. The talk progresses from simple conversational clients to sophisticated, multi-agent systems, covering key patterns like Retrieval-Augmented Generation (RAG), Self-Correcting RAG, and the Model Context Protocol (MCP), explaining how each pattern adds new layers of context, action, and autonomy.

Agentic AI Meets Shadow AI : Zero Trust Security for AI Automation

Agentic AI Meets Shadow AI : Zero Trust Security for AI Automation

The video explores the risks of Agentic AI, which acts rather than just chats, and the emergence of 'Shadow AI'—unofficial, unmonitored AI systems. It proposes a unified control plane for AI security and governance, using a continuous loop of discovery, assessment, governance, and auditing to ensure safe automation. The concepts are illustrated with practical use cases in healthcare and public services.

The future of intelligence | Demis Hassabis (Co-founder and CEO of DeepMind)

The future of intelligence | Demis Hassabis (Co-founder and CEO of DeepMind)

Google DeepMind CEO Demis Hassabis discusses the path to AGI, focusing on the scientific frontiers of the next decade. He covers the importance of solving 'root node' problems like fusion energy, the challenge of 'jagged intelligence' in current models, and the promise of world models and simulations like Genie and SimA. The conversation also explores the balance between scientific rigor and commercial competition, and the profound societal and philosophical questions AGI will force us to confront.

The Power of AI Agents and Agentic AI Explained

The Power of AI Agents and Agentic AI Explained

AI agents represent a paradigm shift from traditional reactive AI models. This summary explores their proactive, goal-driven nature, detailing how they autonomously plan and execute complex workflows by interacting with a diverse ecosystem of models, APIs, hardware, and even other agents to solve real-world problems.